Download - Question Correlations Conclusions · Scale-dependent relationships between U.S. temperatures and teleconnections Carl Schreck1, Jared Rennie1, Lance Watkins2,3, Kelly Dobeck2,4, and

Scale-dependentrelationshipsbetweenU.S.temperaturesandteleconnectionsCarlSchreck1,JaredRennie1,LanceWatkins2,3,KellyDobeck2,4,andDerekPodowitz2,5

1CooperativeInstituteforClimateandSatellites– NorthCarolina(CICS-NC), 2NASA/NOAADEVELOP,3ArizonaStateUniversity,4UniversityofNorthCarolinaAsheville,5FleetNumericalMeteorologyandOceanographyCenter

4th MJOSymposium10–14January2016,NewOrleans,LA

NOAA’sClimateDataRecordProgramPoster#851

[email protected] pdf ofthisposter

Correlations

Rankings

Question

WhichteleconnectionshavethestrongestassociationwithU.S.temperaturesatdifferenttimescales?

Data&Methodology

TemperatureData• GHCN-dailydataaggregatedtoclimatedivisions

andthentostates• NCEIU.S.Normals usedtoproducedaily

anomalies

TimeScales• 5-dayrunningaverage(pentads)toeliminate

day-to-dayvariability• 100-daylowpass filteridentifiesseasonalsignals• 100-dayhighpass filteridentifiessubseasonal

signals

Teleconnections• EPO:EastPacificOscillation• MVP:MultivariatePacificNorthAmerican(PNA)• AO: ArcticOscillation• ONI:OceanicNiñoIndex• RMM1/2:Real-timeMultivariateMadden–Julian

Oscillation(MJO)

Conclusions

• EPOdominatestotalandsubseasonal

• MVP/PNAisamajorplayeratalltimescales

• AOisprimarilylow-frequency

• MJObeatsoutAOatsubseasonal scales